{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Code for \"mixing\" of class visualizations. See [this blogpost](http://auduno.com/post/125837418083/drawing-with-googlenet) for details.\n",
    "\n",
    "Before running the code, insert your pycaffe path in ```pycaffe_root``` and insert the path to the googlenet model in ```model_path```. Download the bvlc googlenet model from [here](https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet) if you haven't done so already."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# imports and basic notebook setup\n",
    "from cStringIO import StringIO\n",
    "import numpy as np\n",
    "import os,re,random\n",
    "import scipy.ndimage as nd\n",
    "import PIL.Image\n",
    "import sys,time,string\n",
    "from IPython.display import clear_output, Image, display\n",
    "from scipy.misc import imresize\n",
    "\n",
    "pycaffe_root = \"/your/path/here/caffe/python\" # substitute your path here\n",
    "sys.path.insert(0, pycaffe_root)\n",
    "import caffe\n",
    "\n",
    "model_name = \"GoogLeNet\"\n",
    "model_path = '/your/path/here/caffe_models/bvlc_googlenet/' # substitute your path here\n",
    "net_fn   = '../deploy_googlenet_updated.prototxt'\n",
    "param_fn = model_path + 'bvlc_googlenet.caffemodel'\n",
    "mean = np.float32([104.0, 117.0, 123.0])\n",
    "\n",
    "#caffe.set_mode_gpu() # uncomment this if gpu processing is available\n",
    "net = caffe.Classifier(net_fn, param_fn,\n",
    "                       mean = mean, # ImageNet mean, training set dependent\n",
    "                       channel_swap = (2,1,0)) # the reference model has channels in BGR order instead of RGB\n",
    "\n",
    "# a couple of utility functions for converting to and from Caffe's input image layout\n",
    "def preprocess(net, img):\n",
    "    return np.float32(np.rollaxis(img, 2)[::-1]) - net.transformer.mean['data']\n",
    "def deprocess(net, img):\n",
    "    return np.dstack((img + net.transformer.mean['data'])[::-1])\n",
    "\n",
    "def blur(img, sigma):\n",
    "    if sigma > 0:\n",
    "        img[0] = nd.filters.gaussian_filter(img[0], sigma, order=0)\n",
    "        img[1] = nd.filters.gaussian_filter(img[1], sigma, order=0)\n",
    "        img[2] = nd.filters.gaussian_filter(img[2], sigma, order=0)\n",
    "    return img\n",
    "\n",
    "def showarray(a, f, fmt='jpeg'):\n",
    "    a = np.uint8(np.clip(a, 0, 255))\n",
    "    f = StringIO()\n",
    "    PIL.Image.fromarray(a).save(f, fmt)\n",
    "    display(Image(data=f.getvalue()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def make_step(net, step_size=1.5, end='inception_4c/output', clip=True, focus=None, sigma=None):\n",
    "    '''Basic gradient ascent step.'''\n",
    "\n",
    "    src = net.blobs['data'] # input image is stored in Net's 'data' blob\n",
    "\n",
    "    dst = net.blobs[end]\n",
    "    net.forward(end=end)\n",
    "\n",
    "    one_hot = np.zeros_like(dst.data)\n",
    "    one_hot.flat[focus] = 1.\n",
    "    dst.diff[:] = one_hot\n",
    "\n",
    "    net.backward(start=end)\n",
    "    g = src.diff[0]\n",
    "    \n",
    "    src.data[:] += step_size/np.abs(g).mean() * g\n",
    "\n",
    "    if clip:\n",
    "        bias = net.transformer.mean['data']\n",
    "        src.data[:] = np.clip(src.data, -bias, 255-bias) \n",
    "        \n",
    "    src.data[0] = blur(src.data[0], sigma)\n",
    "    \n",
    "    dst.diff.fill(0.)\n",
    "    \n",
    "def deepdraw(net, base_img, octaves, focus, visualize=True, clip=True):\n",
    "    \n",
    "    # prepare base image\n",
    "    image = preprocess(net, base_img) # (3,224,224)\n",
    "    \n",
    "    # get input dimensions from net\n",
    "    w = net.blobs['data'].width\n",
    "    h = net.blobs['data'].height\n",
    "    \n",
    "    print \"starting drawing\"\n",
    "    src = net.blobs['data']\n",
    "    src.reshape(1,3,h,w) # resize the network's input image size\n",
    "    current_scale = 1.0\n",
    "    for e,o in enumerate(octaves):\n",
    "        if 'scale' in o:\n",
    "            # resize by o['scale'] if it exists\n",
    "            image = nd.zoom(image, (1,o['scale'],o['scale']))\n",
    "            current_scale *= o['scale']\n",
    "        _,imw,imh = image.shape\n",
    "        \n",
    "        # select layer\n",
    "        layer = o['layer']\n",
    "\n",
    "        for i in xrange(o['iter_n']):\n",
    "            for f in focus.keys():\n",
    "                # randomly select a 224x224 crop centered on midpoint\n",
    "                mid_x = focus[f][1]*current_scale - 224/2\n",
    "                mid_y = focus[f][0]*current_scale - 224/2\n",
    "                width = max((224*current_scale)-224,10.)\n",
    "                ox = np.random.normal(mid_x, width*0.3, 1)\n",
    "                ox = int(np.clip(ox,0,imw-224))\n",
    "                oy = np.random.normal(mid_y, width*0.3, 1)\n",
    "                oy = int(np.clip(oy,0,imw-224))\n",
    "                \n",
    "                # insert the crop into src.data[0]\n",
    "                src.data[0] = image[:,ox:ox+224,oy:oy+224]\n",
    "\n",
    "                sigma = o['start_sigma'] + ((o['end_sigma'] - o['start_sigma']) * i) / o['iter_n']\n",
    "                step_size = o['start_step_size'] + ((o['end_step_size'] - o['start_step_size']) * i) / o['iter_n']\n",
    "\n",
    "                make_step(net, end=layer, clip=clip, focus=f, sigma=sigma, step_size=step_size)\n",
    "\n",
    "                if visualize:\n",
    "                    vis = deprocess(net, src.data[0])\n",
    "                    if not clip: # adjust image contrast if clipping is disabled\n",
    "                        vis = vis*(255.0/np.percentile(vis, 99.98))\n",
    "                    showarray(vis,\"./filename\"+str(i)+\".jpg\")\n",
    "                \n",
    "                if i > 0 and i % 10 == 0:\n",
    "                    print 'finished step %d in octave %d for focus %d' % (i,e,f)\n",
    "\n",
    "                # insert modified image into image\n",
    "                image[:,ox:ox+224,oy:oy+224] = src.data[0]\n",
    "        \n",
    "        print \"octave %d image:\" % e\n",
    "        showarray(deprocess(net, image),\"./octave_\"+str(e)+\".jpg\")\n",
    "            \n",
    "    # returning the resulting image\n",
    "    return deprocess(net, image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define the dimension of the final image via ```start_dim```, then define which classes and where to draw them via ```focus```."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting drawing\n",
      "finished step 10 in octave 0 for focus 368\n",
      "finished step 10 in octave 0 for focus 735\n",
      "finished step 20 in octave 0 for focus 368\n",
      "finished step 20 in octave 0 for focus 735\n",
      "finished step 30 in octave 0 for focus 368\n",
      "finished step 30 in octave 0 for focus 735\n",
      "finished step 40 in octave 0 for focus 368\n",
      "finished step 40 in octave 0 for focus 735\n",
      "finished step 50 in octave 0 for focus 368\n",
      "finished step 50 in octave 0 for focus 735\n",
      "finished step 60 in octave 0 for focus 368\n",
      "finished step 60 in octave 0 for focus 735\n",
      "finished step 70 in octave 0 for focus 368\n",
      "finished step 70 in octave 0 for focus 735\n",
      "finished step 80 in octave 0 for focus 368\n",
      "finished step 80 in octave 0 for focus 735\n",
      "finished step 90 in octave 0 for focus 368\n",
      "finished step 90 in octave 0 for focus 735\n",
      "finished step 100 in octave 0 for focus 368\n",
      "finished step 100 in octave 0 for focus 735\n",
      "finished step 110 in octave 0 for focus 368\n",
      "finished step 110 in octave 0 for focus 735\n",
      "finished step 120 in octave 0 for focus 368\n",
      "finished step 120 in octave 0 for focus 735\n",
      "finished step 130 in octave 0 for focus 368\n",
      "finished step 130 in octave 0 for focus 735\n",
      "finished step 140 in octave 0 for focus 368\n",
      "finished step 140 in octave 0 for focus 735\n",
      "finished step 150 in octave 0 for focus 368\n",
      "finished step 150 in octave 0 for focus 735\n",
      "finished step 160 in octave 0 for focus 368\n",
      "finished step 160 in octave 0 for focus 735\n",
      "finished step 170 in octave 0 for focus 368\n",
      "finished step 170 in octave 0 for focus 735\n",
      "finished step 180 in octave 0 for focus 368\n",
      "finished step 180 in octave 0 for focus 735\n",
      "octave 0 image:\n"
     ]
    },
    {
     "data": {
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Xt5Pvs4MKvwfrWtazkRvNzkqFTd/Os6sUndG8ZJ6Gu0ywSjZ+8yOopskZEizo+VPaqKs0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\noJweBg555oJ5x7UABPynkilJw3IGPXNIVIAz3pQTjgjH0oEz/9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished step 10 in octave 1 for focus 368\n",
      "finished step 10 in octave 1 for focus 735\n",
      "finished step 20 in octave 1 for focus 368\n",
      "finished step 20 in octave 1 for focus 735\n",
      "finished step 30 in octave 1 for focus 368\n",
      "finished step 30 in octave 1 for focus 735\n",
      "finished step 40 in octave 1 for focus 368\n",
      "finished step 40 in octave 1 for focus 735\n",
      "finished step 50 in octave 1 for focus 368\n",
      "finished step 50 in octave 1 for focus 735\n",
      "finished step 60 in octave 1 for focus 368\n",
      "finished step 60 in octave 1 for focus 735\n",
      "finished step 70 in octave 1 for focus 368\n",
      "finished step 70 in octave 1 for focus 735\n",
      "finished step 80 in octave 1 for focus 368\n",
      "finished step 80 in octave 1 for focus 735\n",
      "finished step 90 in octave 1 for focus 368\n",
      "finished step 90 in octave 1 for focus 735\n",
      "finished step 100 in octave 1 for focus 368\n",
      "finished step 100 in octave 1 for focus 735\n",
      "finished step 110 in octave 1 for focus 368\n",
      "finished step 110 in octave 1 for focus 735\n",
      "finished step 120 in octave 1 for focus 368\n",
      "finished step 120 in octave 1 for focus 735\n",
      "finished step 130 in octave 1 for focus 368\n",
      "finished step 130 in octave 1 for focus 735\n",
      "finished step 140 in octave 1 for focus 368\n",
      "finished step 140 in octave 1 for focus 735\n",
      "octave 1 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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KqqUMmW5arD3CpHgdc4xUPnU/IyafNYryOsrbWJGD0FNmLBdiLtQd6erCOVyRl8Z5qnLd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\n45Ppim9sY4ziiigTHEAnkfrRRRUpsD//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished step 10 in octave 2 for focus 368\n",
      "finished step 10 in octave 2 for focus 735\n",
      "finished step 20 in octave 2 for focus 368\n",
      "finished step 20 in octave 2 for focus 735\n",
      "finished step 30 in octave 2 for focus 368\n",
      "finished step 30 in octave 2 for focus 735\n",
      "finished step 40 in octave 2 for focus 368\n",
      "finished step 40 in octave 2 for focus 735\n",
      "finished step 50 in octave 2 for focus 368\n",
      "finished step 50 in octave 2 for focus 735\n",
      "finished step 60 in octave 2 for focus 368\n",
      "finished step 60 in octave 2 for focus 735\n",
      "finished step 70 in octave 2 for focus 368\n",
      "finished step 70 in octave 2 for focus 735\n",
      "finished step 80 in octave 2 for focus 368\n",
      "finished step 80 in octave 2 for focus 735\n",
      "finished step 90 in octave 2 for focus 368\n",
      "finished step 90 in octave 2 for focus 735\n",
      "finished step 100 in octave 2 for focus 368\n",
      "finished step 100 in octave 2 for focus 735\n",
      "finished step 110 in octave 2 for focus 368\n",
      "finished step 110 in octave 2 for focus 735\n",
      "finished step 120 in octave 2 for focus 368\n",
      "finished step 120 in octave 2 for focus 735\n",
      "finished step 130 in octave 2 for focus 368\n",
      "finished step 130 in octave 2 for focus 735\n",
      "finished step 140 in octave 2 for focus 368\n",
      "finished step 140 in octave 2 for focus 735\n",
      "octave 2 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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Kk4brimXce5cIcHHBqjaGRMh+CD1NdPKnG6MFfc2cAYJ70uRjiq6yblGSDU6AFc+tc0Za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\ngckY655FGMnDDp+tFFAPUcCQDgA88Y4FFFFTcnc//9k=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "octave 3 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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Kk4brimXce5cIcHHBqjaGRMh+CD1NdPKnG6MFfc2cAYJ70uRjiq6yblGSDU6AFc+tc0Za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T3FFA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\nT9aKKAeo4EgHAB54xwKKKKm5O5//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "it took 1645.976236 seconds\n"
     ]
    }
   ],
   "source": [
    "octaves = [\n",
    "    {\n",
    "        'layer':'loss3/classifier',\n",
    "        'iter_n':190,\n",
    "        'start_sigma':2.5,\n",
    "        'end_sigma':0.78,\n",
    "        'start_step_size':6.,\n",
    "        'end_step_size':6.\n",
    "    },\n",
    "    {\n",
    "        'layer':'loss3/classifier',\n",
    "        'scale':1.2,\n",
    "        'iter_n':150,\n",
    "        'start_sigma':0.78*1.2,\n",
    "        'end_sigma':0.78,\n",
    "        'start_step_size':6.,\n",
    "        'end_step_size':6.\n",
    "    },\n",
    "    {\n",
    "        'layer':'loss2/classifier',\n",
    "        'scale':1.2,\n",
    "        'iter_n':150,\n",
    "        'start_sigma':0.78*1.2,\n",
    "        'end_sigma':0.44,\n",
    "        'start_step_size':3.,\n",
    "        'end_step_size':3.\n",
    "    },\n",
    "    {\n",
    "        'layer':'loss1/classifier',\n",
    "        'scale':1.0,\n",
    "        'iter_n':10,\n",
    "        'start_sigma':0.44,\n",
    "        'end_sigma':0.304,\n",
    "        'start_step_size':3.,\n",
    "        'end_step_size':3.\n",
    "    }\n",
    "]\n",
    "\n",
    "start_dim = [350,350] # dimension of the picture we generate\n",
    "\n",
    "# mix of gibbon and poncho\n",
    "focus = {\n",
    "    735 : [175,200], # which class (key) and where to draw it (coordinates)\n",
    "    368 : [175,150],\n",
    "}\n",
    "\n",
    "background_color = np.float32([250.0, 250.0, 250.0])\n",
    "gen_image = np.random.normal(background_color, 8, (start_dim[0], start_dim[1], 3))\n",
    "\n",
    "starttime = time.time()\n",
    "gen_image = deepdraw(net, gen_image, octaves, focus, visualize=False)\n",
    "print \"it took %f seconds\" % (time.time()-starttime)\n",
    "\n",
    "# save image\n",
    "#focs = [str(k) for k in focus.keys()]\n",
    "#foc_fname = string.join(focs,\"_\")\n",
    "#img_fn = '_'.join([model_name, \"deepdraw_mixing_classes\", foc_fname+'.png'])\n",
    "#PIL.Image.fromarray(np.uint8(gen_image)).save('./' + img_fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "starting drawing\n",
      "finished step 10 in octave 0 for focus 366\n",
      "finished step 10 in octave 0 for focus 566\n",
      "finished step 20 in octave 0 for focus 366\n",
      "finished step 20 in octave 0 for focus 566\n",
      "finished step 30 in octave 0 for focus 366\n",
      "finished step 30 in octave 0 for focus 566\n",
      "finished step 40 in octave 0 for focus 366\n",
      "finished step 40 in octave 0 for focus 566\n",
      "finished step 50 in octave 0 for focus 366\n",
      "finished step 50 in octave 0 for focus 566\n",
      "finished step 60 in octave 0 for focus 366\n",
      "finished step 60 in octave 0 for focus 566\n",
      "finished step 70 in octave 0 for focus 366\n",
      "finished step 70 in octave 0 for focus 566\n",
      "finished step 80 in octave 0 for focus 366\n",
      "finished step 80 in octave 0 for focus 566\n",
      "finished step 90 in octave 0 for focus 366\n",
      "finished step 90 in octave 0 for focus 566\n",
      "finished step 100 in octave 0 for focus 366\n",
      "finished step 100 in octave 0 for focus 566\n",
      "finished step 110 in octave 0 for focus 366\n",
      "finished step 110 in octave 0 for focus 566\n",
      "finished step 120 in octave 0 for focus 366\n",
      "finished step 120 in octave 0 for focus 566\n",
      "finished step 130 in octave 0 for focus 366\n",
      "finished step 130 in octave 0 for focus 566\n",
      "finished step 140 in octave 0 for focus 366\n",
      "finished step 140 in octave 0 for focus 566\n",
      "finished step 150 in octave 0 for focus 366\n",
      "finished step 150 in octave 0 for focus 566\n",
      "finished step 160 in octave 0 for focus 366\n",
      "finished step 160 in octave 0 for focus 566\n",
      "finished step 170 in octave 0 for focus 366\n",
      "finished step 170 in octave 0 for focus 566\n",
      "finished step 180 in octave 0 for focus 366\n",
      "finished step 180 in octave 0 for focus 566\n",
      "octave 0 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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zoOeRUisGUHPNIPmWgLUlot23U/SrOMA8fjVa2GCR7VZxwPaoe5Ic5HQ+3vSE\nHJwfY4FOGOOKQjA7Hnp6UgAYJ7gdB6UH2GOaUdM5pozgnPPp6UAOyDn17mlyM85/Kmk46j8aOMDn\nH40AKOVwFIpO2PT8qTBGOvpS8EZ9O1AC/wAQBPQdOtJ0PXig4PQHNHQgED36UAL7nv2I70h4JPPS\ng56+3pSn9KAEIxxWLdkplq2jnvWTdKpQjPNOI0YuZBNu5x6U5iI5znHzDgUtwGjUsWxgVQhuHkAZ\n1OQcE+1dXLdXCM9LFm6uknMbyI2wHaqg9/WkLrKuTI6jqVxihjEItsLKrA7hkc80keZXy5yFIyR3\nquVctmiXP3rD44jJEVLFU64qNJoVn8mNNzPwzdhU8YmDyMSuDxs9qznyAERQFJyxz3pKUXq2ZuL6\nbiz3UZ2iZVZc7SF6iqXko4wrEKOQKmZBE6hUXy2HJ75qojyoXfgfNhSO1CtudTjpZ7sSdBIwyCqK\ncnIps9xIk8SRhgrDBIPFOlkme5Ls25MbdmPvUttD9ouBEdo2qSMnAz6U0ny2Y+eMXzImEphTcThj\n0Vu9Ri/G75ACxOMA8A1BdxMksbSFW2nGzPSo7YotxczzoQjDhVFTKzlY0ouyk5MtySwKRvbBH3sD\nvT2jSJz5W5dwBDDrVJZ1u4ihRQF5z7VJHcSS4MecEHCn0FOEJJmVSCUU0TF5Mh2AZl6sB1qVWSU7\n04bvmo4FLRsz8bf4amhAKMsi4XGa0k7iUkoqI2Pd5nzFlAqxMqmPdwW/u5pEdXJiIOR0NOSNGfcV\nyy9KzUrsUlyvXVCwxnAAcFj94HoKsKqxNwxJ7VCAQcKuPU1PCEHLUb6iatoTwSh2xt+Ydat/MduA\nOKoIwWTI71ohiY8rjPf2rCpdMnrZhnIzgA+1IoycGmnAwFOT3zUqrsAywLGmtES22SI4HAGaUqBy\neBTVXBznNWAA8RUjmpuVawqY29achKNhuVP6VCjeW20ip9vNNjRZgwGIzmrXIHPX+tVbYfPVoDqO\nRzWbEIOQePwxxQOvtmlPJB6Ck6KccDp1pAHTrSnngcUZ6Y60nT/69ACdO/X360ue5IxR1Ht2zQAS\ncDHSgBRjocfUig9PXOaacHJJ5HUUoOCcY4z+dACnrxzzQeMAdR1o6g84xRktQAE/Nx25o57/AP16\nMfT2pOPTg8AYpAHbg5rJuTjNaw5FZdwCp9RVxQpaIzLqMOmWJ2nqBWZZTsgmJTKFsDPpW1LFvON2\n1iOMVzbRyiaZd4STgKx6ZJreDfKyaLjJ+ZpxQK5aRFEkeMHHUGob64MREajaD0CiprQNHCI3k+7n\neU53GqF1MyN520uBx+NKq27G9OCWpDBqE9ndDzUBB/iJzSrc+ckgVCHLZHGBVfUQGtQ27Mh5IHas\nyzvss32iUo8Y+XHek6F1zI1hONR2krM2mXYBLMSMcBfSquShaUZYH+GtKzmimj2TAYPcioXsZd7f\nOrJjPFKnJ/DIyn7rdyirRf8AH0srF2+V42HA+lN8rYAx3HOScnimywiMDJJIOQPWlVzdRuG4XHQd\nq3tOzkhNq6aEW8hmCJOhBzxVtIAZFLSKsWMmspbRYblV3O64yT/drTaWKKAKpEh7A1MvZ2VxSWqs\nVZYo2kaKEFHJ79xU5j2MGwBtT5WU8CoFk33O8gZxjPpU7EtGYivyk9aqF0ayd2l0CKZyFjcH5Sd4\nHcGrEa+aMnKgjGCe1VklVopGLcj5RjvU/nb7ZXUEnuMc1rNdEKUfduSqpy2zr0J9qeoaOQBTShGW\n05OGbniooy6nBTnHBNZWuzGMG0zRhwY/nOZCe3YUpjTOQKrxo8nIYKO5qZQ0fVs+9ZqLTLlK6Hqq\n568+gqdHwhU5570yE4zkA9yacTuJwPlolvqS2miRcAAVOCBjI+lQ25Xqw5FTElzwOKT1I1TJsYHT\nFSQvzioFcnjOcU9ODnvUtFbkrLh92Mmnq2Vo60mMHipAt2vJP0q0PzGKrWvfNWuB37dqh7gIOOf6\nUvTjv9aQcL7/AMqUDHUc0gEXryPwpc56cgUBcHNIDgZI9qAYobAxyT/Wkx8uM7R7UnHr15p2cdSR\n74oAQ465+hxSjODR057detB5H05oAC30x1o54yCe9J0HUnHvRx94jnHNAADng9jSjOM4wfUd6THf\noMc0Hgjk/nQMO54IrOnxuO44FaJrPnGSelVEh7GVct+8DocYPFZ2o20UrtcxlpHiGXgXktW20a7m\nVgDx0NZ8qrBMskY2Sk/eXnitlYwUnGXu7mLZX2y3DTkRKCSw7r9au3MYniBt23lxvIHpVaa1jtrp\nrqOOUw3D7ZcgEBj3xU2mC5Z2jZh5MGQZcck54FE3dM7I1IySaZlXEDxzHhuVGc1SMG2QPsUZrpp7\nWSRAykSqfmVh1HsapixLSssgCFRnFOFT3fM1cOpXtYZJ5BHvGSOMVZWGSB3Bk3L3OaLZVDFkwuBj\nJ602OItIyliV681ElIJJdCGZAJA23cpGD7VWELQ5MbDa3WrbQNu+VjtPakjtSwO9wF9K6ITsjFpo\njiLykoF4x1qN4Cp9Wq2xRF8tMpz1HepIYpCuCm488+opNRvctydrMoJb+REWI3MaepcnaRn+lXNp\nQnuBxz2qMIwXO7INJN7ib5Vcp/I0nCYwcZxWnZ7QMFQp7+9Uso8phDAKevrmrwxGiox3EfxVTlfR\nlaSjoiXEazEuSR2AFRMoZzIOBnvTomIlK5A4xzUpt8k7m+UVjBu9mRUSg9AtniXdv5bHAqQ4xleR\n6elQ4QjIHA71YWI4DIc59KtrqJu6HJwNpPBqQ8ewqBQASe/cVZHz4pNWJSuKpAUnvUsf+rx3poAx\nzToD1zUsLXJEG0dKfk5pcqTS4xU3uGw5ScU8N2pEXuaMfNSAvWwwT9KsDOCT065FVrU/MaskZJHN\nZvcAzyRnOKMZPr70pOe46etIQAcc/wBTSAGyTkDpSgYOcYI/Wgc/nycUckjAxQAhJ2jcOKUE8d+K\nQ5AO3A/ClB9OnvQAg7YNGSDntnv2pcZxlR+dJn5uRzQAoPBPamjpTyQ3v9KQ/dIzihAJkjr+YoB6\n0Y5Oad09M0AN+nSqbkKxYjOKtjpVSXduOBmqQmUpWy5Y5GapZ3yNIVwgGBV2VGY4200xgwhXIHOA\nK2jZERS5+aSMryDFE8cJLB23AMfumq1xaSTxlJHMcnU7OFc9q2DaYkLKwRTxmmTorOGxmFeCe9Jz\njTd0QlGMuZHNGa6swtiMRXAXfvJJzmr9zfJb2azSYzwJnbjFaVzHFPEYoAFlbAMxHJHpVNtMTfNH\nNF50ZGDv5BPrWqdOfvWszpjW01HbbUJE6zrsl+YMOc8U2KaBA0kI80tweKSPSobK1RUGVVsp6Lmr\nMcEXJUYbv6UcsUt7idTmfuuxlvIBMSQQDxipNoICxqOferZhEjFWUE9jTYkSNtrLgjvUtjjJcuu5\nRkhG7Bqa3BEi/MQewpLsEEshJApyHbF5jD5sZAq9JJD3TJ5bdQCzjjuKoXGdqBPXoKtNc+dGiJ94\n9TTXjXO3dtYVOsXYygtPeII7ZUkJAHPeppI/mBwcUqBxIFbB9xVt48qCKhX5tTaUlF+6UpEUYKt8\nxq0FZrfBOM05bcMR2FSllxsA4quYU3eSIhB8mD06063VoQQe54FPHUjtTiCjdAeOtBCetxCiyN8u\nMnrUipjjnNETANnAyalZsLhRzmlfWwakeCeKnZQqgHg0scRC75AB7UpGalvUNhio3UGrCgDrz61G\nBxipFAxikwuKZCT7UqL3pVTnJqQ1IE1tjcfTFW26VVthhias4yOhHoKh7gHRQB+FHJHPA96MYUFh\nj8KXJIPBpAJjIBPUHvQOe/5ml6YIwaD8poAMj3B69OlAxu5FHuOx60mCenJ9TxQFhf4efw70p+7x\nz9aTOTzSZ9h1o3AUDrxg9qbkYJz25GaXHpwM0dTyR+FAAzfNxx6UhOOcfpT+M9eaaDnjPPSgBTwa\nquSCas1VcjceM00IjYg8n8agVPMb7vyjoamG0cn8qQyIh+Xv2rRLTQlyuR/Z98eRjI6A1CweGMRh\nRvPU9qtxygqeMHsaieQYOVJY1n717MuXK42KcyBU2rjPtVc3N0F2FlZB2I/rVvyyT8rjHoRVWWA+\ndjk8djWkUZ7iSMj26yzRn2RTUZnRSu1NmOCM9aszW+0IF7VGbVWG1uR39acUlq2VYhZ1JzH949fa\nk8k7tzHmp1gEW5tucDge9PERUAlge+KbavoNL+YrSwsYsIvLcZPamLaHfhmB7YqyszFsKvQ9PSkX\nPmbuN9T7y0HG17lVLQRyF17GnCNRISwBJp6yEuVfPNIVO4sMnHers76g2nuSCFVG5sAmmFDjIbik\nQNICfWgQvnqadmtynLSyFWQjgU7YzHIxn3p4gz7VI0exRzRdLYlxvqRpC4zuqVFQHDg8dMURsVbu\nRTgnmEYOOal6vUa20H7lwRhR6UIVJweoqFIst97vUqqyg9KLITbZIzBujZNNC8jNKIzgcYz3qwYv\nLXK8nvmpbsFurGbMDinpgDGMmlxn0FOjj7BsZ6mgHrsBbHShTk1KqwpwTub1pQgBJxU3Akg4JqwD\n/e5Pf61DFwSalGeQOnY1DAXJHGR+VJjdz09OetLxkY6Gk9/yPWgBT1BOM9MZpp3AEDrjPApT14yf\nfPWjvjJz1+tArgOP4u/SkJ+Ud+fTNKxOcDGKXg9f0pjDJHbnPahgPQnvSKMZJ4wOtGcdAMUgF6Hj\np6YoA4GfwpPx59KOox6+vegBccAflz3pBjANJgk56ccClyPTP0FAC9s+tUpPvGrnrjp71AVyxOKq\nIFJjnOeBUDPle/1rR+UDJXm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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished step 10 in octave 1 for focus 366\n",
      "finished step 10 in octave 1 for focus 566\n",
      "finished step 20 in octave 1 for focus 366\n",
      "finished step 20 in octave 1 for focus 566\n",
      "finished step 30 in octave 1 for focus 366\n",
      "finished step 30 in octave 1 for focus 566\n",
      "finished step 40 in octave 1 for focus 366\n",
      "finished step 40 in octave 1 for focus 566\n",
      "finished step 50 in octave 1 for focus 366\n",
      "finished step 50 in octave 1 for focus 566\n",
      "finished step 60 in octave 1 for focus 366\n",
      "finished step 60 in octave 1 for focus 566\n",
      "finished step 70 in octave 1 for focus 366\n",
      "finished step 70 in octave 1 for focus 566\n",
      "finished step 80 in octave 1 for focus 366\n",
      "finished step 80 in octave 1 for focus 566\n",
      "finished step 90 in octave 1 for focus 366\n",
      "finished step 90 in octave 1 for focus 566\n",
      "finished step 100 in octave 1 for focus 366\n",
      "finished step 100 in octave 1 for focus 566\n",
      "finished step 110 in octave 1 for focus 366\n",
      "finished step 110 in octave 1 for focus 566\n",
      "finished step 120 in octave 1 for focus 366\n",
      "finished step 120 in octave 1 for focus 566\n",
      "finished step 130 in octave 1 for focus 366\n",
      "finished step 130 in octave 1 for focus 566\n",
      "finished step 140 in octave 1 for focus 366\n",
      "finished step 140 in octave 1 for focus 566\n",
      "octave 1 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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aXpv2eA8ktnJYmsS2t2gbKK0hzk9q6uGBL63VvMZA2AR0xUVYqLtfQ5cfOT6k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\nOKO4GT60UU3sAAZGaKKKFsUkrH//2Q==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished step 10 in octave 2 for focus 366\n",
      "finished step 10 in octave 2 for focus 566\n",
      "finished step 20 in octave 2 for focus 366\n",
      "finished step 20 in octave 2 for focus 566\n",
      "finished step 30 in octave 2 for focus 366\n",
      "finished step 30 in octave 2 for focus 566\n",
      "finished step 40 in octave 2 for focus 366\n",
      "finished step 40 in octave 2 for focus 566\n",
      "finished step 50 in octave 2 for focus 366\n",
      "finished step 50 in octave 2 for focus 566\n",
      "finished step 60 in octave 2 for focus 366\n",
      "finished step 60 in octave 2 for focus 566\n",
      "finished step 70 in octave 2 for focus 366\n",
      "finished step 70 in octave 2 for focus 566\n",
      "finished step 80 in octave 2 for focus 366\n",
      "finished step 80 in octave 2 for focus 566\n",
      "finished step 90 in octave 2 for focus 366\n",
      "finished step 90 in octave 2 for focus 566\n",
      "finished step 100 in octave 2 for focus 366\n",
      "finished step 100 in octave 2 for focus 566\n",
      "finished step 110 in octave 2 for focus 366\n",
      "finished step 110 in octave 2 for focus 566\n",
      "finished step 120 in octave 2 for focus 366\n",
      "finished step 120 in octave 2 for focus 566\n",
      "finished step 130 in octave 2 for focus 366\n",
      "finished step 130 in octave 2 for focus 566\n",
      "finished step 140 in octave 2 for focus 366\n",
      "finished step 140 in octave 2 for focus 566\n",
      "octave 2 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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AKnByOtNAXLZ5b+RpVztwDg9896EFxdpAOCKTOe4P0pST5mcZHc+lIetAETnFQNJtapXb\nBwelU5wyscc1aa2YnF2Hz3Chcr1qqs/zCoJdwGaijZy44xT2WgmjTZlcVVbd5o2ngU7zBt61A0uD\nxWanqZubuW2kAFV5P3i9KZv3U0TBXwWC/XvVKRjJX1Q078bRmpFQxxgnqeaVuX3DB46DvSSgGMNv\n4HGM9O9QqmjCF56IrzNvXg49jWXdyMh3Z4/Ort5PAGcAMy/3h0BNYN07sGPIJJUZ+uK5Pilc9ahH\nkjqRvcu2/liM4BHrUQuXbO1cMo5J6E1X2ucZJ2rzy2M05YSyA7vmC8iuyETRy6l23ueVy2WIwTWj\nFKX6YKjrzWH5bjA2gH65q9GrKhAJ4GTitHFGfNdmq0oyAD0pk0i7SDgg+tU0kLHCoeO570TTLtK4\n5xgVDi09Crqw6e4yB0ULgCojcktuUgGsu4uMKwJORz16VB9rOB8wHOcj0xVqm2hcyWh1Fvd5IOcc\nc+9aDEGHfx61ylpc/MAG4HOT3Fb9lcLKCm4c9RmhKUTDEwUouxZEvG0MSTT4ySecmkVFBCseB3qQ\nNtJCLhfWpU7HlQfQm3soAA5qWF3B+cCqAk25YsWx1PYVYhlZ13HpUzqWR0cxorLu7Yp28HPIqCPJ\nTJPWpABg/Jk+o9KwjO5cJXZKH4qFnUtgUiPliKbIAvOefQVqjqWxNFheAae7A8VXgfI6EfWpGYZy\netaEWAMQakWXHSq5YHpQDimmJotByacrkmq+/aOacrVViGy0ZABVZpPmpsjnFRfMeKqKJbLsTKVy\naax3tweBTB8kYFNTvk9aznKw4Q5iVsNhAalQoi7e9V44m8wkNmrSQ4OSc1jzXZsoKJMvapByGGaj\nAxTiDjjOfarJAEADPPt6U4DLAjPHXNNA4wcAnrRzg8c+lACsQQSAc5xzTQMk8Yycc07cSclcUmBk\nnPB6UbB6geNw2tQRs5655oJIJAHtShAB6sO2elC8wYHoGyQT2oHLH1HU+tJjcpwPm9TTuP73PrQw\nQwMPmwGPfOeKKf3wTgUUCYn3cFgQMfgKOiknk47UY5yDjjH1oAJI6YFA9wDdc4z7UuAhz+vek6nj\np0+tBzkArkDrxQFkIxGRzjPrSgMGPHPagAdcd/SjgZPSgAAxgdCfzowMgEZNNH3snGfTHWndACCe\nmBRYYHAGCCMUmc80pbDDK89z6Un0oEQSMBkEVEV3HBp0p61Vkc8cnNNxTRrFaBNEPTiqrR5B5Iqy\nJcjBNRSkAUkraGb7EW0AcdqhZQ3BOKk3ZqCRWbocVE0zmlF3FVSvGabJblnQkkBTnHrT41Y8A4Pq\nafEkkjOBvOBkkcUqc3ezIjfYWMKzYJOfVe1V7h1UPkxsmcbV6/nT5bnbCQOrelZVxd/LuYbfQH+I\n1Mt9DsoUbO7IbqV2AULhM4HPNZsiu0rFmJyMj8anZnMhZ2JI6r2H0pVjOxflBIGBnrVwp2OmUiiL\ncFiZME5GPpVoxx43ZGB6mnKpMYLxlGJxg0FFITdwQ2TkdOK1swvpdkJO3CgA5PBxUkLSFwQABRsR\ncFXLMRnJPSpIuBgdfWtktDFvUnRWww6N2qtPGXBx0Xjirwb5CTyTTHQbMHgH1pRV2VeyOenizuJH\nzEYJqmRtjyVZ2BwFFbdyPlIAyTWe8RU5GA3tXbGyRFm2QRjYMcbjng981sWdyUKqxIf0ArL2hkIb\nJdec45FWI2ZGVlkIOeecdqynZmqhJrQ6m3uRInzkZxVppQYwM47VgWjYGWI6A5rUE3mjoNuT1bFe\nbWjK90ebiKPLO6JMhxsJx3qRZHUYHLdBVZl2FcHJ+tTI5b/9VRKNyL6l+3k24DMTUzyA/dP41QDd\nMA8U7cNvGce9TCnZ3KhHW5aR8MTStIefWoYfusecetLk9B0rpSR2J6FqA7wSetKwzTIvu4B7c08j\nHSmFxoU4paXNBQnpTiS2I48xNpJxTwcDHYUhBHWlxxk1oZsYzEnHapYlwNx796jGS+AOB1JqXPpU\nSnYcYXFcDHWo1jDHnIp4GWFPYcjFYN8xulyvQdFG0fCmrKuwIGM1EnNWFHFVFWG3cduJp4ORwOai\nU/MRUgyOR1pszYAfLhTnI70hQZ+bJHalzzgAcHOKdnscgZz1oAQgAgZ7d6ACCQRkHoaDkjlckHg0\nbup6ccUAKQVxmkI2jAPfkik6MuSemeaXp6n0oAQ8dWyfUULnBGcD+dKOxB4/maGJAGeueaLgAVcK\nCOe3vRSEjAwevSikFxRgjviggbiQMHuRQTlRg8Z7UAZHcc85oEJjaDgY+lKCQBu6jvRkB8g5yKMD\naQST9aYwJwMkEUbSVwTTSu0AlsrilGNvqRyOaAFxklQRn+VIck7ScCgDLbsDnnmlLbRn3oATgdyc\nfrQc9xigjanc9+KRWYjLDH1oC5UkcpnHNQ5DnJHWp5QCxHrVU/K4DcDpVtXRomVV4YnPvSPkgnnA\npxB56YFPxhlUHnucdKTRL3IFBBwRg+h61KsYY4z+NKyF2ySCR1OOtJJEQv8AdpWOeWrEeEAYqJyF\nhZSfvNnB9KkA28ZzxVPeGU56E5ye1Qo2uwpwvJFSTJTjJI4HtzWbOfN5kG5F+UA9DV6aRjKYk4wh\nYntWdLg4RcbQ3H5U4Ru9Tub00FRckADA+lWfK2qWDjP0qC3jY5J4A561aUo6E4IGO/erbV7CSdrv\nYryIRy1VpXLDINWXLC3w4PynAPrVNyAcNnJ6VtFGcmMw2M4OPWp4WAYKB8vck1VEp3Y+6oPSnrJ0\nBGCODWtiUaKSLwUIYAUSbTgZ6gnmoFkCqORwO1RTS+ZwM7l5J7EVKjqW2RzMmC6nO04PNQHAcsI8\nHGQDSO28A+WVQnn3py7cgb+AfrVSlbQ6KNNz1GBB8zDPJGfepVtuRldzZycdqsxQbsEkD+lOZo4h\ng469c1yylJvQbkoiYEUijoNoBzVxCcDac8/hWf8AaotuBjvzjg1YhvFyACAKd7LVBKnGpC3UuDJk\nGffj6VYUrsx8wbvikj8qZSVYeYB0PeoQDuJAOR1rNPmPEqRcJcrJlkIOM5qwDzjdkDrUEakYY9am\nDZGNv4+tUkjSDJ4cjJLYHpTz170lu205IzR0aqaOhS0LcYyuQACetO78VGF45YgVJgH7vA7VIkw2\nbiMVJ04piOc4AP1pxqgYhTLbiaeMHr27UzFOU89M0OQrERYhjmlEnao23bjuqRVBX3rmk2zohYmj\nIOOKkPAqOAMnfg1M1XFAx0JxyafJLtXiohntTgm/g1QLTVj7aTfzVkdemaijjEXSpBg5pkdRSG56\nAnuO1LjIx1HrTSvzDHJ9M09gMZ/rUsWqEO3aQR3x+NIp3JwMml4POTyaAAcg9DxTFsJtyR0+hoVt\nuQeD6Ufxeox0NJkkYOST0wOlBWth2csQCSO4oLc/XvRgYHp6CkBJHykcDA460CF4Ug4xRSDg564H\nf+lFDbE2luDHjgnr26U4kbT2x60beM4pD1zwc8e1AwHX370mCDng+hpTkE5yPc0Zz0xnr7igBWxj\nJx9aayg5yQBj8qUNntkjpRkBucUIEJyAuPu0MA2M5+tAzypPFL0Xpn1yaBbibiMenr60EnHTijnA\n2Y9cH0pG4X3oQynOgcNnP4VBjt1qxMSCcGoGK96voUmV88Z71ExZB0Jz3p8hZZOACD+lMMgB54pj\nY9ZMptP0pHfrlifrTGKMcp8o7k96hkbAqWZOOokkuFPNQKRtb0AFQyOd3y/lSxvkkeooa90qDtIg\nnIccnAI5GOtUGACRFc5bk8dKvSjD1VUru2tnJ6f4UQNpEqhApPmYz1GOtM3tgjGQBkZPFIsar97P\nPPNPboegyK1aRF3sVdzyNhmGOuAOKjd4wjJjk+tPb93Ie/HUdqglKBvk5B9fWtYq5L1IQV3hSue+\nRQzlnyvBB4pGDY+XGfahMqTnr0rWwLdE5b519AOQBzVaWXb8rbmYg4GccVNM7KgUHazDqe1ZzAhm\nVRkgr8x75pKNldlpczJPtBy2HBVeuOcGpUkKuBtOKqBmyFVMY3A9gcGpBkBjufJwWXrWNtTpi+Va\nGoLsJbs2CMdvesN57yYFlKqM5ANaFvIH3JLjB7HrUFxEI3xtJHsa05H0OZ3jN3M0zXmQpIx14q7b\nyv0kU47NUkUMUq7lO0571aNqUjBKhfTHpSUPIbqPoyxY3irKEPFb6hGUSoTg8EE1z1msfm7WBJH5\nGuijAFuufyFZVIpao5MVLmV3uPYE9+KevyjHWmADqCfxp4YA1lE5oSLEAPORR1b8adF0B6ZprcS4\nqjZSLOTgA84pytgYNN4wKTqaktMmz2pwIFRZwKjeTHSk2Wlcs5FG4qRt71CG4GTUgPIqHqC0ZFnB\n9T3NSRhmbHamyKA3B5qWMnZjNCRsiRRipAPWo1pS+CAASapIGTDApyDJpiHPWpTx0pktj+vSlRTu\n+Y8Uxc+lTKMDJpMQu0MpHPpSlcdSMd800EAE/wA6OGxk5BNIH3FIVTz36CjcMgEk5GcdqBnAyAGz\ngZ5owQRxgUgEOFXLHmlB2kk+mfrQQdwBAPejhlPzUwEGF5JJIPSgYI46j9KVsBfejPAUkE/0oAXn\nPzYzRSdBk9KKAtcTcNvOcnsf5UvG7OPxFHOMMO9Lkhz3HtQwGAbj97vycU7g9GHHBFKSBkZAFIcY\n57+tACFTzgDaBihT1yoOPShSf6Cl4RVxjrTYwBH3j0zxR14B9+aCcHOKUgZyccdaXoK40gADFI3C\n560dyQMntmlPAwW5xye1AFOXmqjgg+gq1I2CclcD0NVmO457Z61aBuxVZjnG049aYygocMKsFM45\nx+NQyD5CQOaoTmrjUJC/e6VXuGJ2+9NdnLbMgE9KjunkDfL1A61LWo21YjCjO4OacJeQPK5yOabE\njSEHbgnrVkRhT81NzSdjGTXUrXMIxuHf/GqEanzWU+pbFbDqskW05Gc4PpWfNGQ6uMBvWs4vlZvG\nfMiykKGPeSOB9MVQn3KTtHFW1uiByoweD6ms66mKN8jEp1w3WtYX5jTRohklDKQRt+lVmbfwccVP\ns85B1BJx068561Xk279qnGTxzzXVBIlp2ElZWKlU2FeOO9Ptx5kignJXJqE8LuGCT6npU1mQLhue\nowMVUl7ugkhLtMhsfeIJyaoSL8xQE4Dd/TH+NbrorJuwpYjHNZksQYkBgOmW9PWpjK+hrBWV2VFj\nc7cfNkAbfTPWpViIBUsC3KjFICrOywjIBxu7etadtZtK6hmULntxUVLRWrHeT6FD7PJuV9/y+mKR\n4w8bHqQea6K70eGCLcs4diOvXFZi25kdgNu49DjGamjW5kZu8irZxhrZj15HFLNJOY9i42g9/Sri\nxNHbtGYyshHIIqC5yiEdycH2GK0u+a6OduzG2O4sd3qORXSgAIpjzsx/EawrFMgDjmtASncfQdKi\navsYVJN2uXQT145qVACeoNVopATgdcZxVhSB35PWsGrGGqZZU9j0ppI831pEPPNIizLOxYDHrSub\nQLefxo4zmo9gbk5z7U8RqvQn86m5omhSflJ64oChiM1KiDb0xmpVjUjpUtlc6RWypJAHTinBSTno\nKn8tV4ApjcA1SLTuNk5IOKfF3yOKaQNmQeRTojxyKaRqSHjmnAZxzSA5OKeEI6UxXHKoXp+dP61E\neD1pymgZYR8ADFSFvaoU61OOlSJiZ5HFLnIwTgjtRkBctxilyCw9SOtIQh9R6cHrRjPOen60HjGQ\nflHbvRyCBgUAGccnkdAKX5QCDk8daQdCxznvikXcOvQ0AwK9+/QfSkEYUcZ57GnE/Nk4JHSjkkDI\nJ6mlqAKx29M+tFBxx1AHWinZAIWBwMHjpTjgZPUHqKaAMjnt2pfoMfWgAyAAR0PFN5xjnjmhs88A\nkfpSqccYx7GgF5C9ByQT1GKGKk8EEd6QlicryPSl75C4Pt3oAONpU5x3NIeSQcgHjNJ0wOOtO7jN\nABtAGAKax46fhTlOQMkkimyAleTj2oAzp442fdgZB601gMEE4z6VLKp3Y/iBqvvKsdz8981T2Mpt\nkZ3ABW71DK7o20LkcYqckEFmPI9ar/aP4Q2aDK+ozy4nZWb79MlwrEBQfep2XewII6dKrAYc+gqX\nIObuIoIJOcZphnzIULc1M5ywyRjHFRMqqd+OtZON3cXLdkLyFWI6t2qu02xjvwUPUe9SSE7yRxVV\n+Aef611xgmtTe0o2sQymRX3K3ynpiq/mo7EPxjoamYlOnft2qKQRSgbgYyBzVqDhr0NlUT30Ea6c\nR7FwVJ4ycVULkk5OGHPT+tSMFyArqQvOR61HyoHOccD3zW8Uim76AMNjqM9u1OUGJ96EbumOtJuy\nAMf/AK6cCR94VabQk7F7cstqy88DOaz5YzLjccD/AAqaGZEkXIyOQR7f5xVgqCN/ynI4HpWUvdZr\nSaaaZUZVhG5cDcc1FBenzAOd2c4pLpy6sqnaRyM1UsRIjF26nuPpU1I6XNY6+6aF1cCN9s0mSeTz\nSPIwhQoSeetZc2oXCS4EEXoCetSw6hOZESSNcMMEA9K53Ca94TUUtDahupki253KMjJqCRhMzYBD\nHgrnv600S5iIOAPSnW0DeUsjjk+taQbtdnFVcbFqEeXEW6AcCpYzxnNRmXhVA4HrSqQWy3FVc45a\nluFiPu45qyuR/DnnPXrVJCGbr061aU5IbOAOnFZtklyMg465POKlBHJJzVVXABOcipQ/zDHSs2Fi\nyjZ68VIOeR0qmVLnCnHPIqwjkAA8Vk7plaosKT3pxLiQc/JUPm8YH40omB6AAVXLc0tcsNJimsA+\nKgySetKC3TNaKNjWKJcYGKeCMY71GGHTPNPU1VjS5IKf5m3rUIPJYHNO++R61Nikh4O41Kq5poAA\n9qcD2oC5OgRRgde5p4xUCHnipxUskXJxwKQKAenPfPel3EH2pwOOT3pAJzgA4AoUEdPwNHbCg89z\nQBx0xRsF9BM4bI4HTH9aQgDBwSR3pSDvHPXpS9Tz+VGwAWODwQfrQCMk5Oe/pSEltw7jrmlJG3B5\nHpQHQQ8cAEk88UUMN2T0B7H0op/MaFZQxXPUc8UpzyT0pMHAI7cUgwD9T+VIVxw5PJAz1xSHh8D0\n44obAGdoPFICCAM/T2pCF3HoBSAds4yKVsc46+lNBJA656H0poeg4YAz6UY546UhGSenp14pQRn1\nOKAECk9iKawwKkycAk0xiCpI/CgGZszOkrAMCp6butVnjDAMDnNWZWUMSRk9Kr7mGRnr+lUzKbFY\nF1CsAVHeoZ4ctlByRjpUvmcHcPoaieQxyZw3PeoTdzFXUiBkddpXODwTQy7lKFQDg4x3qYuAzgkA\nYGMVVeVAu8sS4PAApNJvUrkcnsOlDAHaPT8KhJbYQ2OKYbg5JZlz/d7VG10FBAXgnPNUomsaT6g+\nSCcDPtVV0B5zUjXT5zxjpgDpUZl+Us5JP+yOlbxbRv7NrZlWWM5JwTUZTAyCassxKZY7j7DFN2An\ndkgjtXR7TSzKcW1qVHhVuoz3pptl4GSPpVnAGSCMdzSHzBlQuAT3FTzPoUuVKzKxtk6ecT60iwRh\nD8zOfXNTFFDZcA/SrAhxGGYoOOAGzxVqdt2ZylbZFO2iAkMhGSOF/rVuAhmWPb94YVv6Um1YyQOe\ncgEEU9IwgDHgA8c0Tmps0T1uVJLYq5cAiNucelM4tcgJn6+n1raYxumxCOOMViaghUSDJ6lcAdaz\nhJt6m8rJFcGOVyQgU/mBVSBQ920rZ+bCgAcAVYWLy7cqR8zHJqO0QicZAYZ6ZNatRsYVJSasuppR\nWmBmThR696tF+B02gYxjpVvyo5YE4wUHQ5zUBix/eHPFczPJnUblZkUQBY5znrzUzRCRRhTnr0pY\nlJxt7n5iewqzsKFlDhlGCCKh33E5dBkUGBzUrHaMntTPMIIFODBhyOlTcqC11BLlXyFwcdanRlK7\nt2D6VAAn8KBc+neniNSckZpuNzZQvsWkmXPPXFOFwpBINVhEQNw6+lPEWFByMelHIi/ZE4mVh1xS\nrMoOCSaYsCk/SnImM4GaasaKCRMJV/hOakVyai8tQeuD71MgXqCDTKsO3FVyBkmpFVm4Py5FNBHe\nnhzwB0FAhUygAbHHNPK4puc08UhgHLHGKkGaaABTgaQyWP71We1V4+TVntUMkTtyMigZ7LmlB4oG\nFPcmkAhP4YPJxzSjO7nvSluKRmwAR1JwKL9gEB3YDDPvSlgADj8aAMdAc96OQxPXH6UB5AAQM9zQ\neucj/wCvS5JwCcZFNIxxtHJoBIUk7QNp7fhRQeuex7UU7C1YgXGOcgmlAAGQORQ2OhIAPWjrwfvA\n/lSsMTkrnH4UAbctkDtS87jgY7UoB4BPHvQHUQdMg8DrxQwG3Ab6UjLkH5sf4UHAAI7cYFAxFUr1\nIGBwaN2QStPIGOgxTV5UEDj2ovcBAMcUMML16UrDI4600/d5oEZc5IYgYH4VWZR0yxc/lVmcYkJq\nozbTnNaNXMpblcSOAdxPAp5kJiXceO1RFsxMxPy/zqtJNtUE9McCplpsaRpc2rHy3PJVSQPXHWqz\nyhhls7QOgpAruNxOAO1MLY+RR+ZoUDZJLYjMrfeK9entTcu3LMQo7CrDRxpEWJywPygCk3eXtRl3\nGtEBAd20sepHApNjFQC3OeamZfm+cYwM4HeomyU3ZCgc81oh7BIrlRnHHf2qNhtl2NnaRkEd6Y10\nTGUb73TOO1IZw8e0feXBBqlHQHtck/drkOuBjp6Ux5WXGDkY704yJKAsnHP3qBAGGGYFR/Ep6iob\n5TFzexVYvMTsDcdwOlSo8qwlWJQqMbyMk96twzRykpDEzRdAc7adLZIigrIyEnht2cVn9Yvo0Ntp\nJNlFWkllRQ3mb2xy2MZ6UssoX5QrkL1yOlRSLNA6yMRsHTyxyTUG4SzPnhs9TXRFaFX1J1Z0JlBJ\nXJ2j3pzXEM37tJcFSSVdSCfpVaciNADnJOQ3pVNyzD70rL1wpwDWqhezRpGolvqPmmEmWQHAyGB9\nRVuzTL7j+XvWcoLEseCTnb1CitS1ARvmIODUzjoQ+iNeCUD905yp4z6VJ5QDZyM4zmsZrgxuoByO\nTmr1pe7T8/KnrXLys562H59VuWwA2SAMHrxS4VRjovT2pjl5PmjAK+gODUXmOh5UqfcUKF0capSj\noyyvlEAZJJpcJztHPeqyzRkHJbd9KlRi5yvfrmqVO2rNVB3HAH1FKQ4PtTHldW2R7dw6sakhklzh\njvHuKftFF7HXGNtxUYg5JPtUw3SAADjvQUVyGUY7MPQ0u7GMZGDniqunqh3JeM4yeKkU4xzUIOTm\nnqazaGifG407aM/LUampR0qRjhUgQ9KYDipQaYhwGDSt7U3dzT8UgHgAKM8t3pRUYY7uuTUqkdzi\npAmi64qcEiq8fByDVk9KlkgMA56UucrwMmjAK8ilz/dpAIQWAGcYPX1pe+c4A7YpAMjocj3pGGCM\ndKNwHFsDg44z7U0DkcHFLyfvAf8A1qAQMkdBxxR0AVsMPm4FN3FhyD7UpGFzjJNIAc8Ac880ISHK\nAVVgoH9KKRhkcHGKKTGlcT+IhgKTOMkZ5PPtTs9uGNGCCAAMGmgAH5CCD7+tG8DjHGead1PPUc0x\njhscAGgA2kAAjjtigLnhhjFICcbeTj0pxHy9CAKNgE4HGc/WnDjNJ95ARwPekAbIyetAhc/MaZIP\nlNOOehPINNkPy/dyfSnYZj3KuHOWqg2d/OdvetGdgWOQy47daoXO7AToW798VtsiVFylYqyMXDYX\n5c8VVcDec/NjFWSTHnDEioreLc/TryTWdurOpLoiWGLeM5ODSPbqrHGM92z0q2QsKjPeoXQO53DB\nI6g0viY9rkDKgiITnHUmmBECEjcXbsewFSEjBZTwuflNQ/O5OGIXvWqRnuNbc3yjnNM8nkZ2k5qw\ngXrwqjvTBL55aO3BAB5fH+NVy6XInVUdOo022FO4g89T0qvttycK4z7d6seSArD5pCP9rIH9KI7V\n2UGCJ5Meo4/OsnWjB+9sSotq5VMYLNsZcAE4K5oEWIpVV1LHAU/Xip5HjgjPnQPEScHuKmsLWO7R\n/OkUHIKFD1pzalC8WKKcXqMWIRsWWMYj6KckZqrd63czHE9qjxJxleDW3eQvbaZLIj7nOSC1YV5I\nECRRoMKMZPUmsYU73UwU21dAjq0KzwtlD99Mc1HLbwLH9ojXf7A9M9zUtlbBBuZsL149fSpWWKM+\nU8Wxsljk9fatY80WXYzzEsyqDznliP6VDLp5RGkHzRlsAnt+FaH/AC0BBAVxleOKergxSK+G+Xkf\nSu1SkkmjO7WxiA8MTjAAyFFSpKEiDMMs3PAqOROSSudxAwKa42xDJ6cAHvVySZumnqQs+ZF56g8H\nt/nirysP9WDg469az40y/wA2B1+pFXYRkGQgjnpWbQ4pt6GlDIwB2Egr69xVyOV2jOQvHPPSqcEs\nbwsgB3e1TwBFyGGcg4zWEo8rKcVLdE6su85jP1WphHuHytwex4xSAjcpaIocfnWlZWf2j5dg9cjI\nxWMqtlczaititDaq/BAIz39atSWqpGPlAPrU8tm0AwQdo6+9V2utsTxtyp5GeooUeePMjOXMmmit\nIVSTceM4zQQUPQfnzTZ23IjH05pVPmxhj1I5NVS00B7XHB1bOOtPUe9Mt4QrHJqV/lb5elaO17Im\n44HmpVbioAeOKkSoaKTLCE9OoqRSCvfI6iolbj0NPUgHjJJqRik9CDU4+7kdahYZOT29KerHGKYD\nk4YZOT61LgZ+ZQRUPGc1McDFSxksQAOQMe1WQciq0ZqwDUsli57UHKLwNxo2n1pRwwyetIAJAP3S\ncd6Hwy9sHqaQgA88D2oxjkgD0HtRYAwGbPXj1/Sl5BBOQc9O1C43AdCOaBwT82Mn60twFY57cfyp\nNoPHP170hPyfLzx1NGQVzzz1FMW4uMHrkn1FFJzhiB+Boo9QbFbaCM9T29aQYLZ9DQRhgxOPajAG\nGx1/Wgq9thT1zyaU4PVffNIMEc/l2NGeuFJzQID97IBPbOaUHOeo9zSIMfh0Bo2hsnIz/KjyC4FQ\ncDdjHXNIy/Nk9acPRh14zQD6/hQA1uT7ikJ+X270oALEE80PgLQFjLuMGXJGBWVO2+Zj0HQVp3OW\nY+9ZcgzIwGMJj8a1WpcFrcrygAZxwemaktVBziopSTIB/CakU+WhZTn0qpQvoaKVlce8glUjPQ45\nqB26AnqMZx0pwKsQ3O7ONvtUU5AAGSSDnFOMbaGcpXFUszMNo68c0NmViDkE9fbFOhBEJllGDjgV\nFEB5chz+8b7vtmtFC7sROViC8Zi6JGwCdKjgYzERKFWE/wAQbduz/L/69LdyeSrIib2YrkYxjd0q\nvFGm4tGjGQ/KQvT6/SrqU242RnToyld31Or0uOEho3K7fulQKztZmmjvWggZoI1XgqKoy3jRMiqG\nUqBkouBn61HLdSXQRrhZDsJUbTyR2rzZQlHVpam8YNjJbm7ZWUxGWMjB38VHDOcssfyludhbv7Gm\nTbkPKSQBjjhutPVs7YJ4lKEY8xe57VdPljHQ1UI2t1RcF+88H2aYsHGMZ6cdqPKtp3XzGZHHU9RV\nCeKbf5scYljCnlPvL6HH+etSSSNITMsbJCgCnPUn+lKNSzv0ZHs+bVFq42xuoUHyxwpY/eqk16lx\nOEJ+ZV3ZPbinyyRzyRxSP5bY4z/DUEsUUUDhMuWPLAc11R99qSZrOV4pPoQRTENk/MyghasopWIh\nuTIOT/SqdsI45A0uSN2dvQ1alnBUBeC2CAfeupROKc76RK0iA9ckggj8aiEJlZdoy3v2q0oYt047\nnNSiIKpZyEU9cHrVv3VqOmm9CvBZo2Vzkj7xxVny1k/0eNchcZKimvOGXZC+2IHkrToZljJAztzj\nnvWPK3qdifKrRJhZrbQxyq6lnGTg9PapYCUIKLuPv0qqLkfMzdB0FLFNcTNhCqL6sKUo6PmMXKT0\nuaMW9Tl8nknFadveupDKSAO1Y0c0qczo7L1LIavJNEyBo5MqQcE+tcM4J6x1Jd07M1ru8adQw4PS\nsWR2MhUgknr6igTsZPLbHoCDUjxEAyHrt61MZNOzLUNLoZ5gZyhyflzT7bJTr36VDbqTlzzx1qW2\nG1P6iuiKImkloTOHUex5JpVy3finqM5B5zSbdhC5q+ZWMbajwoAp4IXGTgetMFPXaepz9agdyVSr\nchs04Fu1RgIoxGvJ708Umi0O5UdTT0Yk5pAaeOaQx45p2SaQYpR1pDJ4s1ZVe9V4yKtKcipZLDPp\nRkhjkceoFHenY4GT/wDXqQEOSARxnnOKaOfmZlI/lTjjzBk4PbFIwODnge1AAqhskNnNOOM5A6e9\nAGcNjt260wkKSD97sRR6AxQffA707HGF4FJgfc/Ok2kBs4+tAW7DuN3OMdqKb/CCRn6UUrPoFu4d\nVLAE/Wl2jI+YH1zQHGOMj196QjuAuDTAUgBgOeemO1KF2HqSO1N9dvTvSsMsueuO1HSwXEGR9T3p\nwAx0HvSOOAQQSPXvQWwOflNAkBOMN1xxzR0XJ60oGCecL3HrSEZHPXNAxOAcHjPekfpx1HTNL14z\nSHjjn2oAybkkMxPXvWY6gDjvmtS6A3EZzzWbKqId7tgk4HPWto7lbIpOPmAx19qlBBjPy/KOKbhD\nLuOQw6HtSSkSShypwoySK33Y76CAuWxnI4xUYYGdlUg7ep96eSFgZuVyuBUVpbtHGG2k9yfU1aSS\nbZOjY+5X93hyRnkrmiMxlFjI+UnqPXrTHDy3BdiFY9A1K/7uEybSXUjGB3qrJIwknJlSRl81wBgj\nAJ+n/wCup7RI4oJbp+MHp61Gw89MKeSeT35NTag+IBAoIXAz71nVqWWnU3px5nYzbq4LI007FYQM\nkDv7VmfbruU/uQsER455JFWJk+3ytCjBo0YBVz1I6/1qZLRl24i75PPI9qim1HdXN51UlYGmkjtv\n3rM4IPXoanuG/cxRHIjKg5XqpHNQz7Xgxsxzyh+tRzyhgNuRHtPJOBgdf6VjyKT90V1LXoWBj5nR\n2jCkfNnrkYFTnypUEdyjlu0qHjjoSOlNLBIoURVZpcDB9qqsIWAO8hvMKsAemD6Vi4NIlNvXYluL\nZ0XMgDqDkNjH601pmlmjMBEaoMkjmpkvJ4SJEVWgYHcmacgtLmQSwr5BI7dPyqYtxY3JtWYzZ5+2\ncZPJHIwfwpsKRS3DeYChi5KMMEe9astnPbReY9p5sbDPmIcgccVlvcCdxtYCVeu4dQO1dFOrODd9\njBR6kUsq+YVVT5YyeOrVEVeQ77hsDsgPSpRCVJkJDAKMD0HemNJGc7fugA4NdtOUZ+8i+drQV2jV\nMblC54zxSKQVXDNy3XGO2KPMVT5iRgLxgd/SlLfLtwMYXGPXvW1rDv2InTcjZPzL0+lTwQyztGEY\nfL1b2pBl2LGHAHHJxmtCBD8qvGBu67axqS5YmkLkkmVBKH7v61RMwjuG2tgMegp95cbJNkf0AqlF\nbsZNxOec9fSsIQVrl1Iq1jYiczAyoMDuRVl5f9E2KfbJqnEdsYGflHb1FNMoLHJ6Hisp01e5lF9C\n9bjEbnBOBREoYYU0sH7u1XJ+Z+aVXAJGeR2qobET1ZKMIQMHd6VIQSN3T2qLdvPuB+VPj3o3zEFT\n2ou09TPlvsPjzz6U8c/Sjb8vA4pV9Kbs9UJJ9R4p4WmKQOMVIpOeB+ZqDRDwKevFMAOOetOHPGcU\ngJBTgpNNUEfxA04H1pDJ41xjnNWk6VVjNWVzjioZLH470vJ6H/61ISR2oGM9ee1IBdw69fpTcfNw\nSTnrR3GGBOPm4oC8DGV5yM0eQDsjHH0/GmpkHgZPrRn14HqO9OJzjrnt2oAbgcnoPSg5C5GSMUbR\n1OCPT0owRjGCRQPcBwADnHWilIOQT36+1FAITcQOh5FL94A+vbFJjg9fSlAIAOc47GgWyAZ5z2PG\nKRlwck9u1KwJGBwc4zQScsCeKAEALEgH6ilUDOcHjtSYAOOT+PWhQRkDPT1oC4EZbJ79QKcCCMjo\nehpOMg8+1Lj1OeOcUtwEwOtI3QmlyB/9emsMAljQBmXS881mXKgsSB93oTzjitaZl3dMgVmzblWQ\nMR5ZI5FbQYSlpYpmGVY0k3bo1PJU/wBKhZS9xtkYjI5Ht1qeJVWVuzDrjuKhkIEkjt981vF62BT0\nuxjHzHCMyjAyAewNOLsGCLKWHrioCHkCLFtBYZZ8cgelWYLYMGXcQ4APzD7w5BrRW6h07Ih+Z1+7\nk4zkjtUUjmKPfzLuT5SBhVP09alYmLdtKgKmOPaqt3NKjGMfOMbgUXg1TeoQimS2YSQeZlRjP0x2\n5qldTNO0xjHlzHrnkAdKVZzawSptAjON3PXnFZV3PLLcIsdwVTO5gBxjt9az5eeejO32NoPlLVlE\nY2CbkXb0HArpLXULSO2KXFudx6MVIz9CaxbRyhjLnJYhc7QOah1e7hSMDBMhGRk9/pWcoS5ttzzW\npSk+ZEl+26YeSy4yMK1VWVmbZOrJ1yD0qC2aYR/dV8HkN2+lWVu2yu9Mr0HOadrb7m1N6e6OvJAI\nt0MmDtKhl6jI7VHbQfa5o4tzjHVyf1pxto58tATnOWjPUfSiBntlkZ22OflH09qtPmXoap6N9WPv\nGVWENuSkaYAYjO4+tMt53SFjLDtIPI68+1VVLXUiyO2A3KqD0Fasxg+zAJwQuCe5rOdGElZ7mkqf\nurl3JV8QeXYsjswjx0U/e9qrRmO8AltnUnPzxuMEVnCxywkkeRtp3BB1x9K0owsBZk4Z/uKfvfjW\nEqHI7LqYyTSa6fqLK6Q3Rjk2AKcqR15HINNlVJD5iqACOmeM1E08QMiMWMvUBud1T2RMsmxVAX+I\ndq0w94apA4XtfcgDRsRgbX4DKfWkkd0IYqFY9QPUGpruNUcgdW46daauZdoxk46+gr0oyTszNNp2\nZJFH5gLSHp0HvVm4uTDGApwO5NNkkjhjBADYxx71SkLTcFTk8nua5pe/OxvTkoLUTy2aXIq/DEAg\nG3P0qONF2rsBDj1qeISRkhlxilLQnmUnoJJuHDZHH5Uy3BmnHcA5ORSTMWfBHB7mp7OM7dp9Msaz\nnqgSsXt3ynjjoKZECDzyM804PlQBjZjgiiIfKwYZ9DmiLcUZXeq7iqD0z1NSZBfb5hyO1NTHlrle\nfelBwM4GCcZAqHq7gtFYnicqxQjK9eTUxTaM+tVSCCDjkDrVuJ/N2g9QOKWqFfUBkU8HuaTjvSji\nhu5Q9TmnA80wGnjmkCHjiniowaljwakCeOrKtxUCgZqdRxUMTHfxUZIOPwwKD0o78dfX0pAGDySB\nyfyoJJPA4+vWjHzcnjFIwOc49higPUUgA5PT096QZyCc8dqXGW6EDHX1pducHJ/GgBpwBnGVzk4p\nWALZHcUmOTyBzz704r1B6devSjYENyBxkntRSgbhnt3z1opphqAO0d8UpAJGTwaaQT7jvigLwCcg\n5pIBwJyBz15pGxzgZo3DaSeATil9MUAAOBnPBFIvXOcg9c0pI2/NjOaQ+vY/pQITO4gA4we9L/ET\nj8aMA4IzjvQcAZOaSGHHemsoAOGJHpTicetM4Ixzz0p2GUJzjPvVC4DmN1bZgEEYFX7gESMvXHHW\nqMwyNpbG7t61aMZuxSUbUlZ1O4DtWVLKysecl+QCOorZkHlxSRlm+4wAPr2rJuEiFwqyDkEGPnmt\n6ctWy4yuki1bARRZwWcjgdhUM9yY5FUEeackYP6Ux7vykkfaSq9FUc49aiSJZCXJ3DjaR0NOMkve\nZchHmZPn2cN1GB0pIPLlxLgiMDkgcD8KJIyELZwAp/H/AD0psw+z2QO47F5kA7n0rOrUXLcE10Jb\n2fTvLzGixSYAIbox9qxWis/NT7RMAuMHGSPxrN17XF0kLLsVi5CjkDH4mpdKvVv2QShSjEKdp3Ag\n/h+tRGU7cx0KPLBtNmvDOr7BHEVtySEOcg44rM1RmlucJtwRztGCPXNacSeXH9nJGxGxvA5yTwPS\nqrQvLdNDBHhCxLyt6VtQrtzszBvlV1sSwRZstu4rvPzN6KKiMjB98QVoAdjI3cY6ip73aYhGj4jH\nfsaghgJdUdV2gbsg5BrWdjOF/if/AAwr7I7dZyfLQ5IPpUoxcQjJR1U8sD361A7mcyR7d2042+3T\nFOZJbO3VBGUTrjvWXvW06HSnbQVbcWxD7cow+8O1Q+XcfbFfJMZ6AVLZ3e8BJP8AVk7ST61JdgRD\nG4opOFZTwab12NYuSdmODsZGAG0f3s4NOLxwMGBLyHjOScfjQYjcKVEDOUXJYHpjuaRlKxglN3HT\n0rJ1o394U5u2hGib33OoyORxUd5qS2brDGCAxAbA5P8AhVmM/PsYcE8N7UT6es0irJt3A5VvaulT\njLcijJfa3JMGddrNleCM1Mn+jxs5ACj5UHr71GZUtNiKpK55J5JqWf8AeDZHscGojL2asgqQb94p\nySHzGLEkHByBxViKPYS7E5boKi+zSRyKHjO1iCc9DirbkyMSx2nnav8AKtFUTdzCc7WQuTyMdvWn\nEsUOXJAHU0wKcAZOffsKZMWkKwR/8CNaN6akQV5aEcRMkmRkjsK1UQxQ+5FV7a3wQcHAqZ/m3Jn7\noFYWuzol2HBsqpIxnjFStiMDnGahBBGMgkVKW5HGSKTZlYkXpyCc9zShmYgEAKP1pqMxJZzx2GKe\nzgDAU7qzExTuI5OAOmKlt32yjKknPXNQrMCNp61JF8x45+tJ7AlcuSACQgdOtNBAIBPBpzkHbt9O\nabgNt3DpR0Ftox9PU1HmlBwKLFIlGM08Go05qZMZqWDJYpDnBFW1ORUCBasJjFZsQ4HigAAAZP4U\nNwKO2T0x09aQC+nf0pDu6qOKT72QSMegpSCF47UAgGAcYP1oJGTjLc880igg5/8A1UDGTjj3oDcD\nhWGew496XdgAAcmhgCuBz+NIARyBn1oEhduV56frRSjtnr2oo9Ck7DeVYsoBBPSkxg4DdT09BS8f\nMQp5oIDH5c9aNhdBQDwM8ZpQCMk4zngUH5QDkEA03pnuO2aQC4Ock/hRuHPPHQE0gBPPXHHPelOd\np6DPWmFhSdo9fajG0+o60xTwM07DZJyDSACeDjrTfTrmnDp6UhHH+FMChcfLIzYxVOReCQw+p7Vd\nn+8SRVF3GGBB5rRLQxqq5UkViSdxLAYBPIrMvYgLuKYgkk8E+mOa1W2BQTxgc89aguIBLaAg4ZXy\nMnnH/wCutFoZ06lnYx9zJP8AIrDCg/N/FjrWrY2sU2xUwFP8PTFZl1tVlk3Y28EVNaX/ANmOVba6\n9M9CPWlUjZHTL3tUy1qVn5G2N+AMkAdqwrp2ltyV/wBXI+WOcfKOv8q1XuGu1M5JORy7c1nSoYht\nUCRGJUBD8w4z+VcrbtyvobQSvc4rU7db2+jnlCtHn5FPTG08/nWlo1qtsYgR820b9h7gGrVxpiSy\nxmOCQy7QiuJAAq9aviwbTIQRGrXBHyopGFz6k12Sqx9nbqzVu8dRyrJHbxSOCVEgkl+bOD0x+tLL\nuhmljLfKBuGDwQaLaBrhT82HK/MmfvD2qe4t5PLQvbyRsBhH9frXEnJO6MpNGVIzzPtziPkbEHJH\n1p7xrb26qhkfI6E/pmpj5LokiLsljf5lPfHf8aY0BkuNwG6JeMZzk13QqXiTbo9hux4BEwVVbAYr\nnv70/Ubye5VVZvmwFzUoR3uVjT5wD83sMZx/KmBElu2JAKrwPrVb6vYXbqySOzQWKRKAQq4P9aoS\nCS38tHZnTd8iZz+NaJt5ojvVj5J5IJ6fSqRjkluVlIyx4jUenPP8qUFrqbQl7+jNFpFl2Yyn95Q3\n3qtRWzyzp1jLD5dx6ms2JVWDJZg5IK5HJFX7SYxSblckg9CM/rXNUpNa9CKkrOyL17pjxKGlQqcZ\nwBVEkmLnJA+7kc1qXOpS3MC7yxI4ODyayJZHE78fJH0z3NKlPllYyj71n1KtzG7CItjdnoD2qaKU\nSLiSIKrEAYOCO+aklRPLRkYmUr84xwKYsxSMNknaSBxXXyc0dDtjNunctIqKhFtdZwvKM3XnHek8\nuYPsljbI6McYqtdXUMFxHHNHvMi4OB071p2s0T/KznGPutXK4yjqjjnNPWxHkoArgMh6EnpUkNvG\nG2khQeQRya1ms7c2ZmV1IxyuOtZDKi5VCdrdAT0NONV35ZE6pXiySUhBt7DpimMAihmJy9KpMoXH\nOQKWVjuweAtdN7G8WpRugzuG3aMetTRgEAHG7+8xqKM7sZBAPI4qxbhHO0qck9CKhktDxHuJ44FI\nyErggAmtKOAYwBUMkaq+cDI71FyCjHBg5zUsY2nA7mmyuA2ARSx5YjA4HekxouvldoHQjNR8098A\n4weBTPNCkDbk1cdjNvW5Io9akUKeO1RK27saeIhkEk0mNMmwB0pee1NAp4yahsomizxVtOlQR46D\nrVgDipbEOIzS8jvyOlN46GgEknacfWpAXoKBgk0nHbBNOGVAz360DAtjCkcetN5XPGcnpSbSc4I6\n5Bp2GBOfun86NhCBcHJYHPOcUNkHrkk9qCCCoUjA9aPukgjjPQ0XC9xxHuQaKaOgGcH26UUCafQU\n4UdT19aUEcAZyOTSBuMdB0zSNgAk5OaBgwBbpyaUAggbiff1pcZ6cY7ikGGGec96SfQGJwwK9gMc\n0uAoxjn3pACHx2Pc0fwjd+OKoA6PwDjvRjCkZp2MDHb2NIcn0IpbsBAc8HmjgDigDFB4BoCxRnwW\nY9s1Ql2ntmtGQc1WmGVOcY7DFaxZlIzGiOc5OPQ9qaeuQqkehqy/pznNQHk4PGDgVe5zKDTuZdzA\nFncfeVxkZ71k24Id4pMsFYEccqPSulljQ/KxAz0Poao3FmqymRRtdhhsDrWl+aLRupOKIoyUKNn7\nhCnHTFaE+nNLapdRspMYIIx82M1nxjaDkcbcE+9W7XUD9ma3cliODnvXn1o2lzM3hOT23Mt7mC2k\nYrFl2BJkI7/XtVf7S80hYHngEngEGrVxGp3PkYycYrMt4oo5J4nUjLbgAe3qKqm4z06nY7OF0ali\nUhkjdgflPQjj61d1HWkvGEZym3o+z5TziswzG5JfJ3BcE+vpVDUpU09IvOdw7L1PJJNU7cyi0czh\ndJ31LTwSvKu+EOgyAYun41VUyw740X5Sd2EGKswX10I1KurhhjlcE/lVk3EU4Uy2u+UAZxwfy71t\ndLZC5prfUqR+TFbkRyYZvvc5JNJZwkndkbSeBjpRNbl2XyS2BzgqK0oNkMAWZcMxyxHvWk3yxVir\n63RnagwDeUrHylOTjvUlrEZtsqkrgZBJ7U2K2aWcyDDLkgA+lXhALW38qLliOWHYVTcW1bcFywWh\nnX8qowRTjgk+wrD/ALWnF0Y41AQY61oXbB5ZDt5Py8mm29inbaGPcLz+dbqMXGzRolFJ3N/RkNyo\naTC8YPNOu0TLBc7RtU555zk0tvmCAKg+VRyfU1FOWYhMYaRunpxya86cEpXMIwd2yK2UtGzHhWOB\n9KV4AflHJXDY9TVkweTHtB/1a5xVJkaaQSRyNGSMEEV20Nmzac/sxGyQma4EhTLZAye1TyBoW5KY\nHQZ5NOhWSAY/h77u9Ds0khbaihfanKMZMyacnZE1vPPkDORjOM1Oija7t1BO2mRKttEV5y3UmnEj\nyiWbGORiuBxtK4nFrcfaAsDtP3TUkqqSdy7s8/Q0WQItd+ANx/OlkVegUqfTNdG4Ub8o2JWZcYx6\nVfhDhRggH1NQQRN1NSkrGMtkmky27l5ZfLXBbcTUEsitxvXOe9U3bzP4yB3xSIfLTao496xtaW4J\naWCX55MbuR6CrVojM3HT3qsm1jxjitSBPKhyBjdx1ok+iE3ZaAYiQTioxCTzip9jFhtb5e9HmAEq\nR9KUKjbszlUm3Yh5QZFCuzdRTsZJpVU8E1voaLUcDTgaQKMU9U9KjQqxNDwauqflqpGmMVbUcVEt\nwSADkGlPU9cYzxSMcDANL2zk0hiBRtGe/bFABK8n2ApSQRlsj3pCOue/Q0gHdgBg49aGIAx+tNzh\nuAD9TzS5XJB5x/OiwB1GSOnQYpGcgcLx607qAMEHOaCAfvdaAuIPlA9ehopAMD3z19KKLXFp1Akb\nQPQ0Hpnsf0pQQcAqRRnA6MBQMaBtOck/SnKOPShfUDBpxI3c549KGDIwMscfXNKRjjBAPNO6dcj3\nppUh88HNCAT1APOcijOWznqKcMFvTHAGKX6dqAQhODSHkGlH05pjFgccYoArS8VTkzzVyUHnNVXU\nfxDjrWsSJIqlSeT0HpVZSW35Gfm6H0q82xuArA9ck1AbdWY/Ma2i1bUSsipPtAKgAKe1NikJUxSD\nMfr3FXFtgzn0prIgIXg9eKnmVxxa5bMoz2xiO9DuQ9sVQuoTbyLMnKY+at9CFUjovpUcluJFKqtY\nucW7My5nHVGUsaz27MpU/wASkf1rNuIntpYnypjcYY+g71qTQeQ2cnB4wOBUEapzHKAEPI9KwqU+\nR88DqpVtbMrW8ShQHOYWHDA84PSpLzTbLUUiF1GGaLlD1/OpJLWS2bczZiVRgdQaueYrwhDbmM9Q\n2OtONVT3N52krWMZtNRXHlMSVPbP0pJrc7io3EKByOCfWtjyRJIr+YeBwo/rTDbskmWIQsc8kV1R\nadkmZctrO+pl20ksUu2RsqvJ46Crz/Y3WNIyWQ/fz1BrSbSy8RlZ1B245AyayZYQl0xLZVAOB60N\ntq1jNNS1FghdZPNRQwU8KDyBV5NnyiUAsy/MMU3TozK5lJ2IWOD9OKv3dnGHMkR37h0Xr0rCzT0G\n3fRnN6lpZiLSRNmIkkZHI/GoLC0eWRQoPljq2Pat8SMGwy/IezAU+4nSNUOzC46IOldlOvZbanVS\npztYqSoohPmf6pcAAevrUdqhZmupRgAYTP8AOljilur7c3y2oXp6mp3m2nZHt2qDgetcdapzPlJn\n7uhX89ozJ5inc5BUkUqSyyJygHpx1q1aWs13jqxAq9PY/ZYBu+9+daxnZaI43Oz8zDEsW874dx9h\nUpSByPLYg91PFEyKjAAYPWhmUxjzFAHZgec10RlszpUWrNCuQhaViSwo2GaIKD948/So0V5VGerd\njV+ONIwEAzjqRSkluZ1Xf3UO2gAJxwOAe1ORdzcDNKqlnA559e1PAHzbW6HB4qCo7WHGTy157VSm\nugx6VbZAy4bnFVHgG0k9KLob0QxJOMknA7VOCcAkjmotqou0CrdvCZGAxWcpJEoltYctkrV5m3jG\neOgFMYiJDtHzdM+lRFwCM/pUwj1ZjUnd2Q8bw2CeKXyWc7vyyaQsMZBpRMOhNacpFx4XAwTzTt8g\n+6MjuKZvz9Kehxn0NDRaYockfcIpwdycbcClHOKkXioZSY+MnPNXE6VXTFWB0rNjA9aGIGMjOfek\nPB/pT+Mg8ZoAQK3cfSkYDp/F3pd+CF6Gjq5wM470bBuKSDjPXHam88qc0udpwQT70EfLn160AKCR\nyMZ6HNIGPJ28A4xS54+Y5x1pBnIOOnvR0APusMUUmMA5JLZopgOB46YIoHJAxn3oA2jPvRuIJJHB\nOKQaDSnGFanAMc5I9/pSNjJJ6g0DuFb64oC1wPTI7deKF+baQCDRj5vlB570ZJYEDn2oADkdz/jR\nnI4PHam4bJxkk8kGnYxnpjoKABenvSNypHehc554FI2QTQJ6ELKMVC69ealk6VXO71qkBE4HpUL8\nZbuOgFWTH71EUOeAD9a0uKxS8xw2TkehFBB3g5Hy9c1c2452ioHxztUKe5IrKTfQzlHsQudr7VBN\nIJsZyWA5596c8XmDIYjI5xTfKOBnJIP58VzpO+pmlK41sSIQ3zDGearyW6EbGXOaueW2AQpzjofW\npvJSNgzEFsdKv2nKyOZqWpTSxeOP5ZS4x9x+1VZ7eW2O6PO3JyoGRmtNmxtXPLc1VlnKMOmBwSDW\nipqetjeNSUXoZu9X3hkbf3YcU1bgxSgeWCTzk81fRo5CVOATwfWlRIeGTKgccjNb06XKb+0b3Q1J\nN0QZXJJ5PNZ04JmOOjc8+tbaoPLIWMHI64wAKyJR5co3dG4Hpmqb96xUV7rsTk/Z7WMc5x2NNt7y\nVmB6H/ep7xSTw4jAPGRzjFLbadJhVUIAAAWY9D61y1Fa7NOWwXsUlzb4jIDEYD7eAfeobW0lt7VI\n7mcSS9eBxV/y0tPkM6nP3towKqSzb3IiPUYyPenG7ejLi+RW6DLi4CF4o3yx4PsKhSF5GAXO0HnN\nWobLahdwFz0z1NLcI1vGQsmzd6jNaxpxcrPc5qlRylyo0LBTa8gk4Heo764M7ZJzjoKpQ3DIQu7c\nSOtPAJZc9SOaTg4XSJjCXNqCRqsTzP07ZqmSZmVmRVz2FWr2QMUiGML2zRaxAfvGAJ+tVTTRs5cq\n1JILcKPMkOD/AAipR0KpjPpQxY84we1JESBuZfbit1F8t2ZJuWqH5Ax2IHNLuY4zjHoB1pTFlcgc\nE04QEHG7JNZuyNFsQs5znb06UzBkbge9XVtSTgsNo60uIU6c4rKUr7BzJbkEVqWYlhjjkntVkER4\nSPqRyaC+enSmGJixZX5rNq5hOblsSoGbKMvB70yW2deeuKF8xcgkk08M7EZJIopuS3Mo67jUjJUj\nP4GlWHHU1MOT704D1rdTNOUYq+1PA74p4FL5Sp8wzk9eaOYaQgI708UzaSalC1DsNJkkbCrSYIqB\nEHFTAYqGUPxgZ4oyrelJkge1AxntjqalITDHAIXjpg0i5Jwc8c8UADqc8cgZ607hvmGRjn2NMYmc\nvjJOOaN3XLDHQYpCVbAXP1BoYc4XAPr60ANJHIHH86fncRwfwpCuGbvntTifmB28etAIQYAJGAcf\nlRSYOzHQ5zRTWoCk5oYkHgcnvRhSSc9fzpfvKCOueKQriA5PXg9qMEjgkA+lG0l89O2KTp8p6dzR\noMXkDggjsKFXPufXpikOC2OCO1Lg5OO/TPShAxwwTjJpvQkcc0YyPl6g/lSYyxI57ZoBC0h70oFN\ncjac9qBELsoFQEipZB8oqBhWiQmMeQLTElWRwg+U+ppxRScHpUbg4IXjnqKuwIQqQxwxwOtIYvlP\nzZHanecshIXO5evFMklwBg89ahxLSQxoWPyJ06Zpjh4mAMe4g+tWBKXjD5Kt7VHg78hyT3JrK1xu\nnG5DmXzMH1zSbDvJ5OOc1aJXAIUse1Nbco2llXPXHNChfcycEyAruGSp9qhltll6DB9u9WiR9R6U\npfYoUAbzyfYVrG8dh8iRkvasj7gDnNKiNtIP1rUwCTxuIphjJGNox6jtW/trrULPuQWzgSbWye1Q\nz2xkDADIJzirfksG3fMSDkn1qtPJLbSFO3vUNKWxpSlyvUolXiO3JPqM1biV5EGZSPRY+SaYlyhI\nbyQeevrWnZ3CkgrHtPU5FTUi7XaLnUSVyv8AYnYkFCqkckmpBbpCmVVV4xk1bu7nCDgVj3VxJOgT\nOOvNRGL6HI5TqPyHTGNiMykMPypskSXShHfDLyvvVXy5IwDy2eeT1q2s0eMuuEKgr35rST5Vc2VM\niigBd5yP3UfQDvUqkxoZyMufuj0p6sY44lQ4V+WJ7CpHRDIDDKsyEEFTwRWE6zTuzfmUVoZaDzHJ\nc5bPzVoRxCMAKdwPSmG1KyfKh9cEVNnb0zkYG3FdEJKS905puUpagAznCjinqVXPmgikDysCuxk9\nMmnbWPDVbvsWtByvGyfKOlAmJ9j6UJEdpJ4XPU08RcEg/L7d6h2G9iNmkYjtUiRFhzUq+WAASPxp\nyjjI6VlLVGckRiMpgNjJ9KdgAcg/Wn+T82c9afsGMMe/SsYprcySYxWXoT+dOPb0o8oMeOgoCkYw\nDitUhpageBk8AUI6sMjP404/McUuMcVZoKDT9+flpqinrj8aGA9RTwtMBp4YCpZVhwODU/8ADUCf\nM4qxipYBjODniggD6E0hJ4GKc23jOPbNILBzuPHftSAAnIPy+lH8Wc9aTgbSQeT0o6gJxx8uDnoa\nXA6ngkUufn6HilPP3loFYEG0epHfNNy24g9+1AbAJIwOopQMKT0z2oH6i5457HnA60UgUEE5I/rR\nQJ+QgYZ+vt1pw44GcEZ9cU0BiQOo70pYZ+U555FAwKjIOTkUEEZJOeO9IN3Gc/nSgLjv9DQAYAxz\nnA4A9KUkE4AJ70nQ9+O9BPO4EHsaTACw6gcng+1IAB0HHrRtG4nPJHejOBjqf5UwF/lTW5BFLvB4\nwaTtQFiBuBg9qrucVZcZNNKjHStExMqYJprDPr9Ks7M0xkq+YRDtbZtGBjsKRYdzfMeMdqlxSMwH\n3eT9KkpMYIgHOR04FDxAn2pS57A0vJX5jSsNsjUb24GAOBSfZxuyTxUwIA5qMz7SV2miwuZ9BuxG\nB7VG0RbO0Dmpg6t0XGO9AkAOMHJqZTSM5VLEKRMI8nqD60MY1O5hgDtnrT23NnDYqNol3YBJxz+N\nCaYRlcN4bjkL9abMq3CCOTawH8XcUhhyRnbx1OM80GNgcr1PejbY2UerKP2Ih8rnA6VNCroAuCGP\nXNWAMKMbm55JOKd2JJw3tWiqXVpA7jGVpYhz35HeqjW2yQkSE46K4wavrGhi+XhvQ1HIWTiRfM54\n+lWtHoRFW0RXDqQAyEADqDnNS+VCYw6EMvcEdKeYNxOwkn+73qNtyK6OvJxjP1pSSasVHTYgkjaI\nLsXduJ2qfT61EzqWUD5JSxyQQcf55qzPL5MbSKNxUFUB6A5xT7e2WZF85vnPcAVi6V1zDbcDQtLm\nOWARSgbwOGI61QuIishK5AOetQvHNavgglM8NnmrdvIZj5cq5VuhHUGs4ylSe2glyy1W5Vj2k4cH\nI9DUqHnp36UNGFdo93OcA1M52uRgc8k11qXMrgiPG88MRUwJI2t0NIu3HbNSqoqWO5DHAEJIGSep\nNSbSGyc4NSnheaRGLdjxxUsQKeOpozg5zTwo/Gl2jPSkxAvzd6CuDSOyx4OOO9OVg4yBgUgsMBKn\nIp4OetO2A01wVPSncVh4FNZCfunBpUzjmpB0oGRDeD81SqCaCM08Uh3JVAFPB5pqdKfx6VIgySeK\nUkntn29KQcUo5+nakAijgA+v507BIPOPTI6UmTx0J9qGPzZAJ4ouAv8ACCBn3BpuflyBz6Z6UrH5\ncrxSchRgY9qBXBmyu0cn0oIBzxxnGTTl6YOOOuKTIBAGMduOlHUaDIPUNRTWyMAFvpRQvUHFvYeA\nAOGIzQMAdvXNICccDn/aFIGJyMfTHSgAxtUMRk5yKU/Nglcj2pN3OTxx0pwPyg9PQZoYDQedo64p\nQ4DYx+VGQVzg88UhwCAMk4696LBuKV3HJJx1x3pNvYjH0pQ2OpwPQ00EoucZyf0o3DoByAMCl9qM\n85xS9zQBCw5puKlYVGRVJgRngU3GakcDbmkGNvTmmOxH5eTk9PSkKjOBwKkLqv3uKbkN0ouBGcdM\nUxsntUpjJNOCYGKdyWQjI9M+9J5Yk5JqYoDUbBug4p3uQ2MKqppDtPpmndODTCEY4wRmsppMhxuM\nclB0HPemEqoyFK57mp1GFweRQYwfcUR0N6cEtyAYA45Ge9OChdzEYAHT1NWFiB4xx3NDRjgdRVWu\nXexUC4ByM8Uu3OTj5+mT2q2AFO3b+NIVByM4x7daqyIbZVOAeW6d6SJ4p8qshLDr9akZMDkde5pI\n41UHaoUt6VQXSG7AA7YyAfvUvli4KgtknoWqUo0i7F4X270xkaP65oUtbDTuV7izaMNvGdvOBzUc\nabBv45OAaupJjJduP50qwxdWDMQOAOATTv0CxCFKAvIflboD1oC/Z03Mvzk7selPkk2EE/M+cAAU\nzy3lc7+M1m4e7qEY3emwyBcszu2MnAJqTarEEjnGPrT1CRkIFJAHHFPJA+8MnHHtVRulYN5DCoAy\nvX0p6qxUZwPpTlTJ5p5wq88nsKGytLETjOKkA+TgUpUtyaeBxilci5CASak2+tG3DZpxoAQqrDBB\noOOOOlLRtzSAQHNOpNuDzTwuKAExS4pQKcBQAwdakVc0BRUg4pNgCjmpD6U0Yp45zjrUgIeOOlIM\n44HvTie3H1zTTu6Kc89PShBuLjBBJpDnAJP5U4/MDgD2NIuAe3PcUdAQYKdx15oGD0Of5Up5OO38\n6BwM42jHegBiksdoOADz60q8Nuxw1HAOc4z6dKCOcbsAfnR1AcQT6ZHSikPBAPUUUrhtuJnO4Zwe\nlKMAkbcd6QjsDkjke9LgjAHXrinYQZwvXqcg9cUZ2nOM0qjHAGPSmk5IBBJ9qAW4HCp3yT0oAOCc\nHPv1p27J56DjFIM5J6jHTuKB3Ez6D2xRuxgY7UnA243cUpODhqAYAbuc04jNNzjjFLwD1oAaRTCK\nkNNIoAjIzTStTcDrTCc9Kq47kRTPWnqmKUU7rSE2RnimEGpSBSY70xMYvAIxUbHnHP4VOBmomxkh\nRz3NNdzNRuyAgntSqp6VOiD+IgU7y/myKh6m8UkV2jI6GlDKflHap/LNJ5Q646d6aHcrvGxHyk49\nKeBtGO9S7O9M2mqIbI2UsMBiD61GUZOWbNWNtAXHJp3AhK5GScD0NG5BwFFSMm48ik+zg8k5pprq\nC8xuIzzghvY0YGf8e1OCBRxS9sECloAxrYsoK4+poFsw5eQDPZR2pQSGOKXeWfb2xyR2p3Y7sRVW\nIZSIliMZNMKNu2kDA6VLyDtYk+hpWxnBpJhzO1iFY2c4U4x1NSeUPSnlyVAAAHpS5596GxJWGM6I\nuFG5v5UiIW5PWn7TnJA/Cn4AHFK4xpGPrSYp4BalEQPUn8KRJHwaVF3HB6CpPKXtS7cDAouMQgdh\nihQAaKQ57UAKUyaXZilXIHNKTmgBNtLiilFArhilAzS0o4pAAGKXZnvQBk4pRnoMEUhijsCOaaQQ\nMDjuadyRx27U0crnGaAF4LAZ7ZNGfl4OPbFIRnIOBj0oI+bjB+tAC9W6Y560dWJwSM4xQMliOBik\nxkc5znoKYICMpyuc9aACV4AHcUpGBknP1oDZXOM56D0pAthMse2D3NFLnCjPWijXohasMkYz3pGA\nbseT1FJsHI549aU5BJ6+1GgxQxGM8CgYUjGcetIdrA9c/WlA7dhQGoYyOT15pFyWPTOehpeCAoGT\n1GTR/eH5Y60AH8XQYPAPpRjnORijPGARnvRgg5yMdKBoQ44HagAZzk5pc+1IelAgNIaB0oxQIjIJ\noVMVJingACm2KxHspu2pCaSlcdhgXFKAe1OpM45oCxHIGA2rgE9TTVjCD+tS7SDk9TQRxTHsMKI4\n5FKBilxgcUUAJn2pG5+lLijBoEMxmjbmlPXFLimA0ikIp2KCKAGUlOxQRxQAw0ijmpNoIwaTYB06\nU7gkNKj0oCj8O9OpaQxpUEYpNmOM0+nD6UAR7VHT9acFHfmnge3FHtQIQikCk07FL0pANxijNOxm\njZQMM0UbKXbQA0igITT8UUAIBRinYooATFGKdRQSIBS0UopgJ1Hf8KcoGDxjuaM7ec4o5G4np2qb\nFBtJ+YZ+hoYYPI6jkigsMFtvSmlSATubJ6CgEOz1J4xSBuMgEZ6ijAJ4Pf1pQOo9ec0xWDK9xjP5\n0uTsOMAikGc+w7nvTQQWPUbR0NKw2hcggkj8c0oABznjpijauM7cseaTcSRx06c9aEAoB53Emily\nBxwM8nmilr0E02IQSM56UHHTqD+eaNygYzx0603y1OD6dKdhigdST0H5U5QABk5puckqwGaNu05A\n7c0wYoI6cjHp2pcj68UmPukkYNLgbj/h1qQGk4bacnignn3Hag8k56j17UNtLZzk+tOwWHY+UHvT\nWHFOHFNY/MKAGjgewpc5p23I9KTbjihgIOmadik5zgUHnn0oABzSEgU7kDikx82e1IFqJS7aME0c\nnFMLBikxTyRSD7uc0ANxSBacQM5NB9e1FwE20mKdSYzQAbQe1Jsp/ajIoAZspClPJoY4FAWGCOjy\n6kHSlFAEOygpUh9hR0FFwI9nFBUGpO1IcdaYDdgxQEpwOKdxjilcBmyjbTs8kY6ChGLZGPxoCw3b\nRtp+7BI/Kk68AUAIBS4ozgUDBNABikxShuSM9KCMmgBMUYp3XH60gOcnoKBiYo70q+9KR3HNAhMU\nYoJy3sKVc556YouFhKUc0pwFIGPYUfd5IwfagBAwyT2FG4HIGaQFOABweaUggnqcjP09qLAISQoA\nBNL8wIA6dKOMZHDdvWkxkDH1oAVgM5HPY4obHQnjFA6YTgmkyOeM+/rTsHmOAIXBOeKYoJOOenB9\nKUDIw3A7DPanEYBHPFG2gw4BAPHemgkE47e3WnZA+mO9ICxOe3pSFqAwFOcEduKKP4mXJH07UUBa\n41hzuA6c4NKRkAn0yKXIwOpDUDOcYxQguBI3EjNIOSG5I7jHekVWxjdnHalViQG7DkUDBm4xg+lL\nzx2z2pRyMgDNIWIYDj/GhEiFRgnrnnFLxgZPXv2owFBIAx/KlwdgB/Sgewmc/d7GgtwcD6UuNoIz\nz3poyfvDn1oAUt82B1pOvYfSlzxyBSBCWycevFHqAq/LwR9fagsSu7aQDSk56DJPTNABXOTmgBnv\nuz+FO+UDk4PoaaTtDc9+Rin4BBOMt70AIO+Rx2FGdvvk4oJO0YHOeaAoUls8Hrmi4ITOANxPPcCg\nHnIOR6elHzDOOewpMjBLfe6UDHE4OcHjue9BI74HpRnkEcnvmjblieOnGKNBCBTnnjjpSLlTyOtK\n3JBIPPagnBHPHpQNBknjHAPNIRt69KXhc7j7k0pzwB2P5UxCHJHFIemR2GfwpxAK9ceppOCAT+lI\nA46A5pVOQaQDblsDHpnrQu4jdxj0I6U9AsOI56/hTMAtjkEH0p2ACPrzmgnGTz7ZpLsINpGcn8KM\nfL6nvQVA6nnrRgg5ByDRcAAJ7fhR1xjvSHJ9weM04Z9flx0oGBAJ9RSDpgDAPqaReB83XtmnDnHA\nz70vQBm7pxn60o2jIBxjrQ3DAZGO5pQNzN6dqoBnO3OOM9TTjkEYA59aU9OCODikPO4d+9K4ICoM\ng7e9KuM470bQGBGc9KQKMkAEEH1oDUGPynrkdcdqMcDB5pSMHdnNLnPOMjPGKYDNp475/Slw2eKU\nbs8fUCg4zjb06UvUGIRuJApR8nOf/wBdIxKknrTup6fj60AIAoPIyeuaBxznOemTSD5VIz3/ACpc\ngdRwe1Aahkd+lNLnd7GlDbRt9e1KR3Bx2BoFsKORzgelIQcAcde1AZs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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "octave 3 image:\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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uOBQkbIkUYqQD1qNaUvggAE1SQMmGBTkGTTEOetSnjpTJbH9elKind8x4pi59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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "it took 1662.458674 seconds\n"
     ]
    }
   ],
   "source": [
    "# mix of gorilla and french horn\n",
    "focus = {\n",
    "    566 : [175,175],\n",
    "    366 : [175,150]\n",
    "}\n",
    "\n",
    "gen_image = np.random.normal(background_color, 8, (start_dim[0], start_dim[1], 3))\n",
    "starttime = time.time()\n",
    "gen_image = deepdraw(net, gen_image, octaves, focus, visualize=False)\n",
    "print \"it took %f seconds\" % (time.time()-starttime)\n",
    "\n",
    "# save image\n",
    "#focs = [str(k) for k in focus.keys()]\n",
    "#foc_fname = string.join(focs,\"_\")\n",
    "#img_fn = '_'.join([model_name, \"deepdraw_mixing_classes\", foc_fname+'.png'])\n",
    "#PIL.Image.fromarray(np.uint8(gen_image)).save('./' + img_fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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